Genome Expression Pathway Analysis Tool - Analysis and visualization of microarray gene expression data under genomic, proteomic

Background: Regulation of gene expression is relevant to many areas of biology and medicine, in the study of treatments, diseases, and developmental stages. Microarrays can be used to measure the expression level of thousands of mRNAs at the same time, allowing insight into or comparison of different cellular conditions. The data derived out of microarray experiments is highly dimensional and often noisy, and interpretation of the results can get intricate. Although programs for the statistical analysis of microarray data exist, most of them lack an integration of analysis results and biological interpretation. Results: We have developed GEPAT, Genome Expression Pathway Analysis Tool, offering an analysis of gene expression data under genomic, proteomic and metabolic context. We provide an integration of statistical methods for data import and data analysis together with a biological interpretation for subsets of probes or single probes on the chip. GEPAT imports various types of olig...

• Type: Journal
• Year: 2007
• Where: BMCBI
• Authors: Markus Weniger, Julia C. Engelmann, Jörg Schultz
• Keywords: Analysis, BMCBI 2007, Data Analysis, Gene Expression